Cost-optimized parallel computations using volatile cloud resources

  • In recent years, the parallel computing community has shown increasing interest in leveraging cloud resources for executing parallel applications. Clouds exhibit several fundamental features of economic value, like on-demand resource provisioning and a pay-per-use model. Additionally, several cloud providers offer their resources with significant discounts; however, possessing limited availability. Such volatile resources are an auspicious opportunity to reduce the costs arising from computations, thus achieving higher cost efficiency. In this paper, we propose a cost model for quantifying the monetary costs of executing parallel applications in cloud environments, leveraging volatile resources. Using this cost model, one is able to determine a configuration of a cloud-based parallel system that minimizes the total costs of executing an application.

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Metadaten
Name:Haußmann, Jens; Blochinger, Wolfgang
DOI:https://doi.org/10.1007/978-3-030-36027-6_4
ISBN:978-3-030-36027-6
Erschienen in:Economics of grids, clouds, systems, and services : 16th International Conference, GECON 2019, Leeds, UK, September 17-19, 2019: proceedings. - (Computer communication networks and telecommunications ; 11819)
Publisher:Springer
Place of publication:Cham
Editor:Karim Djemane
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Tag:cloud computing; cost model; parallel computing
Pagenumber:9
First Page:45
Last Page:53
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen Springer